CVE-2020-17408
NEC ExpressCluster XXE Information Disclosure
Description
This vulnerability allows remote attackers to disclose sensitive information on affected installations of NEC ExpressCluster 4.1. Authentication is not required to exploit this vulnerability. The specific flaw exists within the clpwebmc executable. Due to the improper restriction of XML External Entity (XXE) references, a specially-crafted document specifying a URI causes the XML parser to access the URI and embed the contents back into the XML document for further processing. An attacker can leverage this vulnerability to disclose information in the context of SYSTEM. Was ZDI-CAN-10801.
INFO
Published Date :
Sept. 10, 2020, 5:15 p.m.
Last Modified :
Nov. 21, 2024, 5:08 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2020-17408 has a 1 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2020-17408.
| URL | Resource |
|---|---|
| https://www.support.nec.co.jp/en/View.aspx?id=9510100319 | Patch Vendor Advisory |
| https://www.zerodayinitiative.com/advisories/ZDI-20-1102/ | Third Party Advisory VDB Entry |
| https://www.support.nec.co.jp/en/View.aspx?id=9510100319 | Patch Vendor Advisory |
| https://www.zerodayinitiative.com/advisories/ZDI-20-1102/ | Third Party Advisory VDB Entry |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
CVE Data Analysis, CVE Monitor, CVE EXP Prediction Based on Deep Learning. 1999-2020年存量CVE数据分析、监控CVE增量更新、基于深度学习的CVE EXP预测和自动化推送
Python
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2020-17408 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2020-17408 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://www.support.nec.co.jp/en/View.aspx?id=9510100319 Added Reference https://www.zerodayinitiative.com/advisories/ZDI-20-1102/ -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Sep. 15, 2020
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:N/C:P/I:N/A:N) Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N Changed Reference Type https://www.support.nec.co.jp/en/View.aspx?id=9510100319 No Types Assigned https://www.support.nec.co.jp/en/View.aspx?id=9510100319 Patch, Vendor Advisory Changed Reference Type https://www.zerodayinitiative.com/advisories/ZDI-20-1102/ No Types Assigned https://www.zerodayinitiative.com/advisories/ZDI-20-1102/ Third Party Advisory, VDB Entry Added CPE Configuration OR *cpe:2.3:a:nec:expresscluster_x:4.1:*:*:*:*:windows:*:* *cpe:2.3:a:nec:expresscluster_x:4.2:*:*:*:*:windows:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2020-17408 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2020-17408
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
2.69 }} -2.35%
score
0.90145
percentile